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#artificialintelligence

AI, brain scans may alter how doctors treat depression

National trial: Computer predicts patient outcomes based on EEG.

10 Feb 2020 Nature Biotechnology

New technology could help solve AI’s ‘memory bottleneck’

Magnetic memory device is smallest demonstrated and uses record-low current.

10 Feb 2020 Nature Electronics

Artificial intelligence can spot when correlation does mean causation

AI can merge overlapping and incomplete medical datasets and then determine which variables are causative, giving new possibilities for old data; scientists at Babylon demonstrated the potential of the AI on data from tumors and protein structures.

6 Feb 2020 AAAI 2020 (Association for Advancement of Artificial Intelligence 2020)

Novel memristor-enabled computation in memory architecture could revolutionize artificial-intelligence hardware

Conventional computing hardware are inefficient to tackle data-intensive artificial-intelligence tasks due to the underlying von Neumann architecture restriction.

30 Jan 2020 Nature

New imaging system and artificial intelligence algorithm accurately identify brain tumors

A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors, a new study finds.

6 Jan 2020 Nature Medicine

Antarctic waters: Warmer with more acidity and less oxygen

The increased freshwater from melting Antarctic ice sheets plus increased wind has reduced the amount of oxygen in the Southern Ocean and made it more acidic and warmer.

6 Jan 2020 Nature Geoscience

Artificial intelligence identifies previously unknown features associated with cancer recurrence

This technology could contribute to personalized medicine by making highly accurate prediction of cancer recurrence possible by acquiring new knowledge from images.

18 Dec 2019 Nature Communications

Machine learning decreases experimental costs of drug combination screening for translational applications

FIMM researchers have developed an efficient machine learning model that requires only a limited set of dose-response measurements for accurate prediction of drug combination synergy in a given patient sample. The minimal-input web-implementation, named DECREASE, supports cost-effective combinatorial screening in precision medicine projects with decreased experimental costs, translational time and number of patient-derived cells required.

9 Dec 2019 Nature Machine Intelligence

Machine learning can help us understand conversations about death

Researchers wanted to understand the types of conversations that people have around serious illness, to identify the common features they have and determine if they follow common storylines.

9 Dec 2019 Patient Education and Counselling

Molecular eraser enables better data storage and computers for AI

New discovery for atomic-scale circuits brings closer the potential to eliminate a gigatonne of carbon emissions while increasing data capacities for ultra-efficient computers.

27 Nov 2019 ACS Nano

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